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Analysis of word occurrence frequency and word association in English text file: A big data analytics method

机译：英语文本文件中单词出现频率和单词联想的分析：一种大数据分析方法

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摘要

In present study, I presented an algorithm for analysis of word occurrence frequency and word association in English text file. Various delimiters were used for splitting words. In addition, common used grammatical words are ignored in word occurrence and association analysis. All different words were listed according to word occurrence frequency from the greater to the smaller. Word association was detected by using one-dimensional ordered cluster analysis. The words fallen in the same class may likely have strong association. Theoretically, various classes at distinct clustering hierarchical level may represent different hierarchical topics. Java software of the algorithm was provided.
机译：在本研究中，我提出了一种分析英文文本文件中单词出现频率和单词联想的算法。各种分隔符用于拆分单词。此外，在单词出现和关联分析中会忽略常用的语法单词。根据单词出现的频率从大到小列出所有不同的单词。通过使用一维有序聚类分析来检测单词关联。属于同一类别的单词可能具有很强的联想性。从理论上讲，处于不同聚类层次结构级别的各种类可以表示不同的层次结构主题。提供了该算法的Java软件。

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